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Eric C. Kerrigan
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2020 – today
- 2024
- [i37]Nikilesh Ramesh, Eric C. Kerrigan, Yuanbo Nie:
Tracking-in-range Formulations for Numerical Optimal Control. CoRR abs/2403.03066 (2024) - [i36]Eduardo M. G. Vila, Eric C. Kerrigan:
Tightly Bounded Polynomials via Flexible Discretizations for Dynamic Optimization Problems. CoRR abs/2403.07707 (2024) - [i35]Eduardo M. G. Vila, Eric C. Kerrigan, Paul Bruce:
Mesh Refinement with Early Termination for Dynamic Feasibility Problems. CoRR abs/2403.07811 (2024) - [i34]Jad Wehbeh, Eric C. Kerrigan:
Semi-Infinite Programs for Robust Control and Optimization: Efficient Solutions and Extensions to Existence Constraints. CoRR abs/2404.05635 (2024) - [i33]Jad Wehbeh, Eric C. Kerrigan:
Robust Output Feedback of Nonlinear Systems through the Efficient Solution of Min-Max Optimization Problems. CoRR abs/2409.08684 (2024) - [i32]Paola Falugi, Edward O'Dwyer, Marta A. Zagorowska, Eric C. Kerrigan, Yuanbo Nie, Goran Strbac, Nilay Shah:
Robust co-design framework for buildings operated by predictive control. CoRR abs/2410.10446 (2024) - [i31]Lucian Nita, Eric C. Kerrigan:
Accurate Solutions to Optimal Control Problems via a Flexible Mesh and Integrated Residual Transcription. CoRR abs/2410.23037 (2024) - 2023
- [j48]Logan Sritharan, Lucian Nita
, Eric C. Kerrigan
:
An efficient method for maximal area coverage in the context of a hierarchical controller for multiple unmanned aerial vehicles. Eur. J. Control 74: 100850 (2023) - [j47]Yuanbo Nie
, Eric C. Kerrigan
:
Solving Dynamic Optimization Problems to a Specified Accuracy: An Alternating Approach Using Integrated Residuals. IEEE Trans. Autom. Control. 68(1): 548-555 (2023) - [j46]Ian McInerney
, Eric C. Kerrigan
, George A. Constantinides
:
Horizon-Independent Preconditioner Design for Linear Predictive Control. IEEE Trans. Autom. Control. 68(1): 580-587 (2023) - [j45]Martin P. Neuenhofen
, Eric C. Kerrigan
:
Solving Problems With Inconsistent Constraints With a Modified Augmented Lagrangian Method. IEEE Trans. Autom. Control. 68(4): 2592-2598 (2023) - [j44]Omar J. Faqir
, Eric C. Kerrigan
:
Inaccuracy Matters: Accounting for Solution Accuracy in Event-Triggered Nonlinear Model Predictive Control. IEEE Trans. Autom. Control. 68(6): 3316-3330 (2023) - [j43]Edward O'Dwyer
, Eric C. Kerrigan
, Paola Falugi
, Marta A. Zagorowska
, Nilay Shah
:
Data-Driven Predictive Control With Improved Performance Using Segmented Trajectories. IEEE Trans. Control. Syst. Technol. 31(3): 1355-1365 (2023) - [j42]Alessandro Ravera
, Alberto Oliveri
, Matteo Lodi, Alberto Bemporad
, W. P. M. H. Heemels
, Eric C. Kerrigan
, Marco Storace
:
Co-Design of a Controller and Its Digital Implementation: The MOBY-DIC2 Toolbox for Embedded Model Predictive Control. IEEE Trans. Control. Syst. Technol. 31(6): 2871-2878 (2023) - [c60]Martin P. Neuenhofen, Eric C. Kerrigan, Yuanbo Nie:
Numerical Comparison of Collocation vs Quadrature Penalty Methods. CDC 2023: 4285-4290 - [i30]Marta A. Zagorowska, Paola Falugi, Edward O'Dwyer, Eric C. Kerrigan:
Automatic scenario generation for efficient solution of robust optimal control problems. CoRR abs/2303.08540 (2023) - 2022
- [c59]Lucian Nita, Eric C. Kerrigan, Eduardo M. G. Vila, Yuanbo Nie:
Solving optimal control problems with non-smooth solutions using an integrated residual method and flexible mesh. CDC 2022: 1211-1216 - [c58]Lucian Nita, Eduardo M. G. Vila, Marta A. Zagorowska, Eric C. Kerrigan, Yuanbo Nie, Ian McInerney
, Paola Falugi
:
Fast and accurate method for computing non-smooth solutions to constrained control problems. ECC 2022: 1049-1054 - [i29]Benjamin Biggs, Ian McInerney
, Eric C. Kerrigan, George A. Constantinides:
High-level Synthesis using the Julia Language. CoRR abs/2201.11522 (2022) - [i28]Ian McInerney, Eric C. Kerrigan:
Teaching Predictive Control Using Specification-based Summative Assessments. CoRR abs/2202.00157 (2022) - [i27]Marta A. Zagorowska, Paola Falugi, Edward O'Dwyer, Eric C. Kerrigan:
Efficient solution of robust optimal control problems using local reduction. CoRR abs/2204.14145 (2022) - [i26]Lucian Nita, Eduardo M. G. Vila, Marta A. Zagorowska, Eric C. Kerrigan, Yuanbo Nie, Ian McInerney, Paola Falugi:
Fast and accurate method for computing non-smooth solutions to constrained control problems. CoRR abs/2205.08613 (2022) - 2021
- [j41]Yuanbo Nie
, Eric C. Kerrigan
:
Efficient Implementation of Rate Constraints for Nonlinear Optimal Control. IEEE Trans. Autom. Control. 66(1): 329-334 (2021) - [j40]Ercan Atam
, Eric C. Kerrigan
:
Optimal Partitioning of Multithermal Zone Buildings for Decentralized Control. IEEE Trans. Control. Netw. Syst. 8(3): 1540-1551 (2021) - [i25]Ercan Atam, Tamer F. Abdelmaguid, Muhammed Emre Keskin, Eric C. Kerrigan:
A hybrid green energy-based framework with a multi-objective optimization approach for optimal frost prevention in horticulture. CoRR abs/2104.07189 (2021) - [i24]Omar J. Faqir, Eric C. Kerrigan:
Inaccuracy matters: accounting for solution accuracy in event-triggered nonlinear model predictive control. CoRR abs/2105.13799 (2021) - [i23]Ian McInerney
, Lucian Nita, Yuanbo Nie, Alberto Oliveri, Eric C. Kerrigan:
Towards a Framework for Nonlinear Predictive Control using Derivative-Free Optimization. CoRR abs/2106.05025 (2021) - [i22]Edward O'Dwyer, Eric C. Kerrigan, Paola Falugi, Marta A. Zagorowska, Nilay Shah:
Data-driven predictive control with reduced computational effort and improved performance using segmented trajectories. CoRR abs/2108.10753 (2021) - 2020
- [j39]Yuanbo Nie
, Eric C. Kerrigan
:
External Constraint Handling for Solving Optimal Control Problems With Simultaneous Approaches and Interior Point Methods. IEEE Control. Syst. Lett. 4(1): 7-12 (2020) - [j38]Yuanbo Nie
, Eric C. Kerrigan
:
Efficient and More Accurate Representation of Solution Trajectories in Numerical Optimal Control. IEEE Control. Syst. Lett. 4(1): 61-66 (2020) - [j37]Omar J. Faqir
, Eric C. Kerrigan
, Deniz Gündüz
:
Information Transmission Bounds Between Moving Terminals. IEEE Commun. Lett. 24(7): 1410-1413 (2020) - [j36]Michael Cantoni
, Farhad Farokhi
, Eric C. Kerrigan, Iman Shames
:
Structured computation of optimal controls for constrained cascade systems. Int. J. Control 93(1): 30-39 (2020) - [c57]Martin P. Neuenhofen, Eric C. Kerrigan:
An Integral Penalty-Barrier Direct Transcription Method for Optimal Control. CDC 2020: 456-463 - [c56]Eric C. Kerrigan, Yuanbo Nie, Omar J. Faqir, Caroline H. Kennedy, Steven A. Niederer, José Alonso Solís-Lemus, Peter Vincent, Steven E. Williams:
Direct Transcription for Dynamic Optimization: A Tutorial with a Case Study on Dual-Patient Ventilation During the COVID-19 Pandemic. CDC 2020: 2597-2614 - [c55]Martin P. Neuenhofen, Eric C. Kerrigan:
A Direct Method for Solving Integral Penalty Transcriptions of Optimal Control Problems. CDC 2020: 4822-4823 - [i21]Omar James Faqir, Eric C. Kerrigan, Deniz Gündüz:
Information transmission bounds between moving terminals. CoRR abs/2001.04258 (2020) - [i20]Ercan Atam, Eric C. Kerrigan:
Optimal partitioning of multi-thermal zone buildings for decentralized control. CoRR abs/2006.06326 (2020) - [i19]Yuanbo Nie, Eric C. Kerrigan:
Solving Dynamic Optimization Problems to a Specified Accuracy: An Alternating Approach using Integrated Residuals. CoRR abs/2009.10454 (2020) - [i18]Ian McInerney
, Eric C. Kerrigan, George A. Constantinides:
Horizon-independent Preconditioner Design for Linear Predictive Control. CoRR abs/2010.08572 (2020) - [i17]Eric C. Kerrigan, Yuanbo Nie, Omar J. Faqir, Caroline H. Kennedy, Steven A. Niederer, José Alonso Solís-Lemus, Peter Vincent, Steven E. Williams:
Direct Transcription for Dynamic Optimization: A Tutorial with a Case Study on Dual-Patient Ventilation During the COVID-19 Pandemic. CoRR abs/2011.11570 (2020)
2010 – 2019
- 2019
- [j35]Bulat Khusainov
, Eric C. Kerrigan
, George A. Constantinides:
Automatic Software and Computing Hardware Codesign for Predictive Control. IEEE Trans. Control. Syst. Technol. 27(5): 2295-2304 (2019) - [j34]Luxin Zhang
, Eric C. Kerrigan
, Bikash C. Pal
:
Optimal Communication Scheduling in the Smart Grid. IEEE Trans. Ind. Informatics 15(9): 5257-5265 (2019) - [c54]Ian McInerney
, Eric C. Kerrigan, George A. Constantinides:
Modeling Round-off Error in the Fast Gradient Method for Predictive Control. CDC 2019: 4331-4336 - [i16]Ian McInerney
, Eric C. Kerrigan, George A. Constantinides:
Bounding Computational Complexity under Cost Function Scaling in Predictive Control. CoRR abs/1902.02221 (2019) - [i15]Yuanbo Nie, Eric C. Kerrigan:
Efficient and More Accurate Representation of Solution Trajectories in Numerical Optimal Control. CoRR abs/1902.11041 (2019) - [i14]Yuanbo Nie, Eric C. Kerrigan:
External Constraint Handling for Solving Optimal Control Problems with Interior Point Methods. CoRR abs/1902.11043 (2019) - [i13]Yuanbo Nie, Eric C. Kerrigan:
Efficient Implementation of Rate Constraints for Nonlinear Optimal Control. CoRR abs/1903.05508 (2019) - [i12]Omar J. Faqir, Eric C. Kerrigan, Deniz Gündüz, Yuanbo Nie:
Joint Optimization of Transmission and Propulsion in UAV-Assisted Communication Networks. CoRR abs/1906.08024 (2019) - 2018
- [j33]Mason Thammawichai
, Eric C. Kerrigan:
Energy-efficient real-time scheduling for two-type heterogeneous multiprocessors. Real Time Syst. 54(1): 132-165 (2018) - [j32]Mason Thammawichai
, Sujit P. Baliyarasimhuni
, Eric C. Kerrigan
, João Borges de Sousa
:
Optimizing Communication and Computation for Multi-UAV Information Gathering Applications. IEEE Trans. Aerosp. Electron. Syst. 54(2): 601-615 (2018) - [i11]Martin P. Neuenhofen, Eric C. Kerrigan:
Dynamic Optimization with Convergence Guarantees. CoRR abs/1810.04059 (2018) - 2017
- [j31]Ming Ge
, Eric C. Kerrigan:
Noise covariance identification for nonlinear systems using expectation maximization and moving horizon estimation. Autom. 77: 336-343 (2017) - [j30]Ming Ge
, Eric C. Kerrigan:
Noise covariance identification for time-varying and nonlinear systems. Int. J. Control 90(9): 1903-1915 (2017) - [c53]Omar J. Faqir, Eric C. Kerrigan, Deniz Gündüz
:
Joint optimization of transmission and propulsion in aerial communication networks. CDC 2017: 3955-3960 - [i10]Michael Cantoni, Farhad Farokhi
, Eric C. Kerrigan, Iman Shames:
Scalable computation for optimal control of cascade systems with constraints. CoRR abs/1702.06375 (2017) - [i9]Omar J. Faqir, Eric C. Kerrigan, Deniz Gündüz:
Joint optimization of transmission and propulsion in aerial communication networks. CoRR abs/1710.01529 (2017) - [i8]Bulat Khusainov, Eric C. Kerrigan, Andrea Suardi, George A. Constantinides:
Nonlinear Predictive Control on a Heterogeneous Computing Platform. CoRR abs/1710.08737 (2017) - [i7]Bulat Khusainov, Eric C. Kerrigan, George A. Constantinides:
Automatic Software and Computing Hardware Co-design for Predictive Control. CoRR abs/1710.08802 (2017) - 2016
- [j29]Vincent Bachtiar
, Eric C. Kerrigan, William H. Moase
, Chris Manzie
:
Continuity and monotonicity of the MPC value function with respect to sampling time and prediction horizon. Autom. 63: 330-337 (2016) - [c52]Michael Cantoni, Farhad Farokhi
, Eric C. Kerrigan, Iman Shames:
A scalable QP solver for optimal control of cascades with constraints. AuCC 2016: 132-134 - [c51]Mason Thammawichai
, Eric C. Kerrigan:
Feedback scheduling for energy-efficient real-time homogeneous multiprocessor systems. CDC 2016: 1643-1648 - [c50]Ming Ge
, Eric C. Kerrigan:
Relations between full information and Kalman-based estimation. CDC 2016: 2041-2046 - [c49]Bulat Khusainov
, Eric C. Kerrigan, George A. Constantinides:
Multi-objective Co-design for model predictive control with an FPGA. ECC 2016: 110-115 - [c48]Eric C. Kerrigan, Bulat Khusainov
, George A. Constantinides:
What is different about embedded optimization? ECC 2016: 600 - [c47]Andrea Picciau, Gordon E. Inggs, John Wickerson
, Eric C. Kerrigan, George A. Constantinides:
Balancing Locality and Concurrency: Solving Sparse Triangular Systems on GPUs. HiPC 2016: 183-192 - [i6]Mason Thammawichai, Eric C. Kerrigan:
Feedback Scheduling for Energy-Efficient Real-Time Homogeneous Multiprocessor Systems. CoRR abs/1606.02635 (2016) - [i5]Mason Thammawichai, Eric C. Kerrigan:
Energy-Efficient Real-Time Scheduling for Two-Type Heterogeneous Multiprocessors. CoRR abs/1607.07763 (2016) - [i4]Mason Thammawichai, Sujit P. Baliyarasimhuni, Eric C. Kerrigan, João B. Sousa:
Optimizing Communication and Computation for Multi-UAV Information Gathering Applications. CoRR abs/1610.04091 (2016) - 2015
- [j28]Yuyi Liu, Jos van Schijndel, Stefano Longo
, Eric C. Kerrigan:
UAV energy extraction with incomplete atmospheric data using MPC. IEEE Trans. Aerosp. Electron. Syst. 51(2): 1203-1215 (2015) - [j27]Juan Luis Jerez, George A. Constantinides, Eric C. Kerrigan:
A Low Complexity Scaling Method for the Lanczos Kernel in Fixed-Point Arithmetic. IEEE Trans. Computers 64(2): 303-315 (2015) - [j26]Edo Abraham
, Eric C. Kerrigan:
Lower-Order H∞ Filter Design for Bilinear Systems With Bounded Inputs. IEEE Trans. Signal Process. 63(4): 895-906 (2015) - [c46]Vincent Bachtiar
, Eric C. Kerrigan, William H. Moase
, Chris Manzie
:
Smoothness properties of the MPC value function with respect to sampling time and prediction horizon. ASCC 2015: 1-6 - [c45]Eric C. Kerrigan, George A. Constantinides, Andrea Suardi, Andrea Picciau, Bulat Khusainov
:
Computer architectures to close the loop in real-time optimization. CDC 2015: 4597-4611 - [c44]Andrea Suardi, Eric C. Kerrigan, George A. Constantinides:
Fast FPGA prototyping toolbox for embedded optimization. ECC 2015: 2589-2594 - [i3]Eric C. Kerrigan:
Feedback and Time are Essential for the Optimal Control of Computing Systems. CoRR abs/1510.01135 (2015) - [i2]Mason Thammawichai, Eric C. Kerrigan:
Energy-Efficient Scheduling for Homogeneous Multiprocessor Systems. CoRR abs/1510.05567 (2015) - 2014
- [j25]Stefano Longo
, Eric C. Kerrigan, George A. Constantinides:
Constrained LQR for low-precision data representation. Autom. 50(1): 162-168 (2014) - [j24]Juan Luis Jerez, Paul J. Goulart, Stefan Richter, George A. Constantinides, Eric C. Kerrigan, Manfred Morari:
Embedded Online Optimization for Model Predictive Control at Megahertz Rates. IEEE Trans. Autom. Control. 59(12): 3238-3251 (2014) - [j23]Edward Nicholas Hartley
, Juan Luis Jerez, Andrea Suardi, Jan M. Maciejowski, Eric C. Kerrigan, George A. Constantinides:
Predictive Control Using an FPGA With Application to Aircraft Control. IEEE Trans. Control. Syst. Technol. 22(3): 1006-1017 (2014) - 2013
- [j22]Ammar Hasan
, Eric C. Kerrigan, George A. Constantinides:
Control-Theoretic Forward Error Analysis of Iterative Numerical Algorithms. IEEE Trans. Autom. Control. 58(6): 1524-1529 (2013) - [c43]Edo Abraham
, Eric C. Kerrigan:
Estimator design for input-constrained bilinear systems with application to wave energy conversion. CDC 2013: 5686-5691 - [c42]Zhe Feng, Eric C. Kerrigan:
Latching control of wave energy converters using derivative-free optimization. CDC 2013: 7474-7479 - [c41]Yuyi Liu, Stefano Longo, Eric C. Kerrigan:
Nonlinear predictive control of autonomous soaring UAVs using 3DOF models. ECC 2013: 1365-1370 - [c40]Stefano Longo, Eric C. Kerrigan, George A. Constantinides:
A predictive control solver for low-precision data representation. ECC 2013: 3590-3595 - [c39]Andrea Suardi, Stefano Longo, Eric C. Kerrigan, George A. Constantinides:
Energy-aware MPC co-design for DC-DC converters. ECC 2013: 3608-3613 - [c38]Juan Luis Jerez, Paul J. Goulart, Stefan Richter, George A. Constantinides, Eric C. Kerrigan, Manfred Morari:
Embedded Predictive Control on an FPGA using the Fast Gradient Method. ECC 2013: 3614-3620 - [i1]Juan Luis Jerez, Paul J. Goulart, Stefan Richter, George A. Constantinides, Eric C. Kerrigan, Manfred Morari:
Embedded Online Optimization for Model Predictive Control at Megahertz Rates. CoRR abs/1303.1090 (2013) - 2012
- [j21]Juan Luis Jerez, Eric C. Kerrigan, George A. Constantinides:
A sparse and condensed QP formulation for predictive control of LTI systems. Autom. 48(5): 999-1002 (2012) - [j20]Amir Shahzad, Eric C. Kerrigan, George A. Constantinides:
A Stable and Efficient Method for Solving a Convex Quadratic Program with Application to Optimal Control. SIAM J. Optim. 22(4): 1369-1393 (2012) - [j19]Shakil Ahmed, Eric C. Kerrigan, Imad M. Jaimoukha
:
A Semidefinite Relaxation-Based Algorithm for Robust Attitude Estimation. IEEE Trans. Signal Process. 60(8): 3942-3952 (2012) - [c37]Juan Luis Jerez, George A. Constantinides, Eric C. Kerrigan:
Towards a fixed point QP solver for predictive control. CDC 2012: 675-680 - [c36]Edo Abraham
, Eric C. Kerrigan:
Optimal active control of a wave energy converter. CDC 2012: 2415-2420 - [c35]Juan Luis Jerez, George A. Constantinides, Eric C. Kerrigan:
Fixed Point Lanczos: Sustaining TFLOP-equivalent Performance in FPGAs for Scientific Computing. FCCM 2012: 53-60 - 2011
- [j18]Stefano Longo
, Eric C. Kerrigan, Keck Voon Ling
, George A. Constantinides:
A parallel formulation for predictive control with nonuniform hold constraints. Annu. Rev. Control. 35(2): 207-214 (2011) - [j17]Amir Shahzad, Bryn Ll. Jones
, Eric C. Kerrigan, George A. Constantinides:
An efficient algorithm for the solution of a coupled Sylvester equation appearing in descriptor systems. Autom. 47(1): 244-248 (2011) - [j16]Ian J. Couchman, Eric C. Kerrigan, Christoph Böhm:
Model reduction of homogeneous-in-the-state bilinear systems with input constraints. Autom. 47(4): 761-768 (2011) - [j15]Bryn Ll. Jones
, Eric C. Kerrigan, Jonathan F. Morrison
, Tamer A. Zaki:
Flow estimation of boundary layers using DNS-based wall shear information. Int. J. Control 84(8): 1310-1325 (2011) - [c34]Giulio M. Mancuso, Eric C. Kerrigan:
Solving constrained LQR problems by eliminating the inputs from the QP. CDC/ECC 2011: 507-512 - [c33]Stefano Longo
, Eric C. Kerrigan, Keck Voon Ling
, George A. Constantinides:
Parallel move blocking Model Predictive Control. CDC/ECC 2011: 1239-1244 - [c32]Ammar Hasan
, Eric C. Kerrigan, George A. Constantinides:
Solving a positive definite system of linear equations via the matrix exponential. CDC/ECC 2011: 2299-2304 - [c31]Juan Luis Jerez, Eric C. Kerrigan, George A. Constantinides:
A condensed and sparse QP formulation for predictive control. CDC/ECC 2011: 5217-5222 - [c30]Shakil Ahmed, Eric C. Kerrigan, Imad M. Jaimoukha:
Semidefinite relaxation of a robust static attitude determination problem. CDC/ECC 2011: 5337-5342 - [c29]Juan Luis Jerez, George A. Constantinides, Eric C. Kerrigan:
An FPGA implementation of a sparse quadratic programming solver for constrained predictive control. FPGA 2011: 209-218 - 2010
- [j14]Bryn Ll. Jones
, Eric C. Kerrigan:
When is the discretization of a spatially distributed system good enough for control? Autom. 46(9): 1462-1468 (2010) - [j13]Loutjie C. Coetzee, Ian K. Craig
, Eric C. Kerrigan:
Robust Nonlinear Model Predictive Control of a Run-of-Mine Ore Milling Circuit. IEEE Trans. Control. Syst. Technol. 18(1): 222-229 (2010) - [c28]Ian J. Couchman, Eric C. Kerrigan, Christoph Böhm:
Model reduction of homogeneous-in-the-state bilinear systems with input constraints. ACC 2010: 2718-2723 - [c27]Amir Shahzad, Eric C. Kerrigan, George A. Constantinides:
Preconditioners for inexact interior point methods for predictive control. ACC 2010: 5714-5719 - [c26]Amir Shahzad, Eric C. Kerrigan, George A. Constantinides:
A fast well-conditioned interior point method for predictive control. CDC 2010: 508-513 - [c25]Ammar Hasan
, Eric C. Kerrigan, George A. Constantinides:
An ISS and l-stability approach to forward error analysis of iterative numerical algorithms. CDC 2010: 780-785 - [c24]Ian J. Couchman, Eric C. Kerrigan:
Feedback solution to a bilinear fluid mixing control problem. CDC 2010: 2966-2971 - [c23]Juan Luis Jerez, George A. Constantinides, Eric C. Kerrigan:
FPGA implementation of an interior point solver for linear model predictive control. FPT 2010: 316-319
2000 – 2009
- 2009
- [j12]Paul J. Goulart, Eric C. Kerrigan, Teodoro Alamo
:
Control of Constrained Discrete-Time Systems With Bounded 2 Gain. IEEE Trans. Autom. Control. 54(5): 1105-1111 (2009) - [c22]Bryn Ll. Jones, Eric C. Kerrigan, Jonathan F. Morrison
:
A modeling and filtering framework for the semi-discretised Navier-Stokes equations. ECC 2009: 1215-1220 - [c21]Ian J. Couchman, Eric C. Kerrigan, J. C. Vassilicos:
Optimization-based feedback control of mixing in a stokes fluid flow. ECC 2009: 1227-1232 - [c20]Antonio Roldao Lopes, Amir Shahzad, George A. Constantinides, Eric C. Kerrigan:
More Flops or More Precision? Accuracy Parameterizable Linear Equation Solvers for Model Predictive Control. FCCM 2009: 209-216 - 2008
- [j11]Paul J. Goulart, Eric C. Kerrigan:
Input-to-state stability of robust receding horizon control with an expected value cost. Autom. 44(4): 1171-1174 (2008) - [j10]Paul J. Goulart, Eric C. Kerrigan, Daniel Ralph:
Efficient robust optimization for robust control with constraints. Math. Program. 114(1): 115-147 (2008) - [c19]Antonio Roldao Lopes, George A. Constantinides, Eric C. Kerrigan:
A floating-point solver for band structured linear equations. FPT 2008: 353-356 - 2007
- [j9]Sasa V. Rakovic, Eric C. Kerrigan, David Q. Mayne, Konstantinos I. Kouramas:
Optimized robust control invariance for linear discrete-time systems: Theoretical foundations. Autom. 43(5): 831-841 (2007) - [j8]Colin N. Jones, Eric C. Kerrigan, Jan M. Maciejowski:
Lexicographic perturbation for multiparametric linear programming with applications to control. Autom. 43(10): 1808-1816 (2007) - [j7]Paul J. Goulart, Eric C. Kerrigan:
Output feedback receding horizon control of constrained systems. Int. J. Control 80(1): 8-20 (2007) - [j6]Ion Necoara, Eric C. Kerrigan, Bart De Schutter
, Ton J. J. van den Boom:
Finite-Horizon Min-Max Control of Max-Plus-Linear Systems. IEEE Trans. Autom. Control. 52(6): 1088-1093 (2007) - 2006
- [j5]David Q. Mayne, Sasa V. Rakovic, Richard B. Vinter, Eric C. Kerrigan:
Characterization of the solution to a constrained Hinfinity optimal control problem. Autom. 42(3): 371-382 (2006) - [j4]Paul J. Goulart, Eric C. Kerrigan, Jan M. Maciejowski:
Optimization over state feedback policies for robust control with constraints. Autom. 42(4): 523-533 (2006) - [j3]Jørgen Spjøtvold, Eric C. Kerrigan, Colin N. Jones, Petter Tøndel, Tor Arne Johansen:
On the facet-to-facet property of solutions to convex parametric quadratic programs. Autom. 42(12): 2209-2214 (2006) - [j2]Sasa V. Rakovic, Eric C. Kerrigan, David Q. Mayne, John Lygeros:
Reachability analysis of discrete-time systems with disturbances. IEEE Trans. Autom. Control. 51(4): 546-561 (2006) - [c18]Paul J. Goulart, Eric C. Kerrigan:
A convex formulation for receding horizon control of constrained discrete-time systems with guaranteed l2 gain. CDC 2006: 5447-5452 - [c17]Paul J. Goulart, Eric C. Kerrigan:
A Method for Robust Receding Horizon Output Feedback Control of Constrained Systems. CDC 2006: 5471-5476 - [c16]Ion Necoara, Eric C. Kerrigan, Bart De Schutter
, Ton J. J. van den Boom:
Worst-case optimal control of uncertain max-plus-linear systems. CDC 2006: 6055-6060 - 2005
- [j1]Sasa V. Rakovic, Eric C. Kerrigan, Konstantinos I. Kouramas, David Q. Mayne:
Invariant approximations of the minimal robust positively Invariant set. IEEE Trans. Autom. Control. 50(3): 406-410 (2005) - [c15]Konstantinos I. Kouramas, Sasa V. Rakovic, Eric C. Kerrigan, John C. Allwright, David Q. Mayne:
On the Minimal Robust Positively Invariant Set for Linear Difference Inclusions. CDC/ECC 2005: 2296-2301 - [c14]Paul J. Goulart, Eric C. Kerrigan, Jan M. Maciejowski:
State Feedback Policies for Robust Receding Horizon Control: Uniqueness, Continuity, and Stability. CDC/ECC 2005: 3753-3758 - 2004
- [c13]Eric C. Kerrigan, Teodoro Alamo:
A convex parameterization for solving constrained min-max problems with a quadratic cost. ACC 2004: 2220-2221 - [c12]Eric C. Kerrigan, Jan M. Maciejowski:
Properties of a new parameterization for the control of constrained systems with disturbances. ACC 2004: 4669-4674 - [c11]Raphael Cagienard, Pascal Grieder, Eric C. Kerrigan, Manfred Morari:
Move blocking strategies in receding horizon control. CDC 2004: 2023-2028 - 2003
- [c10]Eric C. Kerrigan, Jan M. Maciejowski:
Robustly stable feedback min-max model predictive control. ACC 2003: 3490-3495 - [c9]Sasa V. Rakovic, Eric C. Kerrigan, David Q. Mayne:
Reachability computations for constrained discrete-time systems with state-and input-dependent disturbances. CDC 2003: 3905-3910 - [c8]Gabriele Pannocchia
, Eric C. Kerrigan:
Offset-free control of constrained linear discrete-time systems subject to persistent unmeasured disturbances. CDC 2003: 3911-3916 - [c7]Sasa V. Rakovic, Eric C. Kerrigan, Konstantinos I. Kouramas, David Q. Mayne:
Approximation of the minimal robustly positively invariant set for discrete-time LTI systems with persistent state disturbances. CDC 2003: 3917-3918 - [c6]Eric C. Kerrigan, Jan M. Maciejowski:
On robust optimization and the optimal control of constrained linear systems with bounded state disturbances. ECC 2003: 1453-1458 - 2002
- [c5]Eric C. Kerrigan, David Q. Mayne:
Optimal control of constrained, piecewise affine systems with bounded disturbances. CDC 2002: 1552-1557 - 2001
- [c4]Eric C. Kerrigan, Jan M. Maciejowski:
Robust feasibility in model predictive control: necessary and sufficient conditions. CDC 2001: 728-733 - 2000
- [c3]Eric C. Kerrigan, Alberto Bemporad, Domenico Mignone, Manfred Morari, Jan M. Maciejowski:
Multi-objective prioritisation and reconfiguration for the control of constrained hybrid systems. ACC 2000: 1694-1698 - [c2]Eric C. Kerrigan, Jan M. Maciejowski:
Invariant sets for constrained nonlinear discrete-time systems with application to feasibility in model predictive control. CDC 2000: 4951-4956
1990 – 1999
- 1999
- [c1]Eric C. Kerrigan, Jan M. Maciejowski:
Fault-tolerant control of a ship propulsion system using model predictive control. ECC 1999: 4602-4607
Coauthor Index
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